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Multiple alignment of complete sequences (MACS) in the post-genomic era
O Lecompte1, J D Thompson, F Plewniak
1Laboratoire de Biologie et Génomique Structurales, Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS/INSERM/ULP), BP 163, 67404 Cedex, Illkirch, France.
Gene
|June 19, 2001
Summary
Multiple sequence alignment is crucial in molecular biology for understanding protein function and evolution. New integrated systems are needed to handle complex data in the post-genomic era.
Area of Science:
- Molecular Biology
- Bioinformatics
Background:
- Multiple sequence alignment (MSA) is a fundamental tool in molecular biology, traditionally used for homology detection, motif identification, and phylogenetic analysis.
- Recent advancements in genome sequencing and database expansion present new challenges for MSA, particularly with highly complex proteins.
Purpose of the Study:
- To highlight the evolving role of multiple alignment in the post-genomic era.
- To propose the development of integrated systems for enhanced functional analysis and phylogenomic studies.
Main Methods:
- Review of traditional and emerging multiple alignment strategies, including iterative and co-operative approaches.
- Discussion on the necessity of integrating diverse data sources like sequence data, knowledge-based systems, and prediction methods.
Main Results:
- The limitations of current MSA algorithms in handling large-scale, complex biological data are evident.
- Genome annotation and phylogenomic analysis benefit significantly from advanced MSA techniques.
Conclusions:
- The future of multiple alignment lies in integrated systems that combine heterogeneous data for robust functional analysis.
- These advanced systems will serve as platforms for validating and presenting biological information effectively.